====== Statistical methods for biodiversity research ======

===== General information =====

   * **[[http://ordination.okstate.edu/|Ordination methods for ecologists]]**
   * **[[http://ebd06.ebd.csic.es/statpage.htm|Statistics for ecologists]]** A collection of useful links to sites with statistical or mathematical material relevant to ecologists. 

===== Books =====
   * **[[http://www.springer.com/life+sciences/ecology/book/978-0-387-45967-7|Analyzing Ecological Data]]** - This book is available online [[http://www.springerlink.com/content/978-0-387-45967-7#section=292216&page=1|here.]]
   * **[[http://www.amazon.com/Numerical-Ecology-Developments-Environmental-Modelling/dp/0444892508/ref=pd_cp_b_2|Numerical Ecology 2nd edition]]** - by Pierre and Louis Legendre. A classic reference text in quantitative ecology. 
   * **[[http://ca.wiley.com/WileyCDA/WileyTitle/productCd-0632056339,descCd-google_preview.html|Measure Biological Diversity]]**  - by Anne E. Magurran. 
   * **[[http://www.icraf.com/resources/databases/tree-diversity-analysis|Tree diversity analysis]]** - A free manual and software for common statistical methods for ecological and biodiversity studies.


===== Resources for Python =====

  * **[[http://numpy.scipy.org/|Official page of NumPy]]** The fundamental package needed for scientific computing with Python. 
  * **[[http://www.scipy.org/|SciPy]]** Another Python library that uses NumPy to do advanced math, signal processing, optimization, statistics. The list of staticical functions is provided [[http://docs.scipy.org/doc/scipy/reference/stats.html|here.]]
  * **[[http://matplotlib.sourceforge.net/|matplotlib]]** A python 2D plotting library which produces publication quality figures.
  * **[[http://www.omegahat.org/RSPython/index.html|R/SPlus - Python Interface]]** An interface that allows Python code to call R functions and R code to create Python objects and call Python functions and methods.